In silico docking of anti-Alzheimer’s molecules from plant derivatives

K. Shobana * and P. Muralidharan

Department of Pharmacology, C. L. Baid Metha College of Pharmacy, Chennai, Tamil Nadu, India.
 
Research Article
International Journal of Science and Research Archive, 2024, 11(01), 140–156
Article DOI: 10.30574/ijsra.2024.11.1.1124
Publication history: 
Received on 23 November 2023; revised on 04 January 2024; accepted on 07 January 2024
 
Abstract: 
Alzheimer’s disease is a progressive neurodegenerative disease and most often associated with memory deficits and cognitive decline. This study pertains to the development of plant based molecules that can help treating the Alzheimer’s conditions. Plant based molecules usually render no side effects, compared to the Allopathic drugs. Also, this study is based on the novel approach of Computer aided drug design. The molecules selected for study are screened for drug likeness property using DruLiTo software. The molecules are also screened for presence of carcinogenicity and mutagenicity using T.E.S.T software. The molecule is then docked with the receptor using the Molegro software. The best pose is selected and results are tabulated and concluded. Any molecule can be considered as ‘well-bound’ or ‘well-docked’ if it expresses a fairly negative docking score. The H-bond energy is also a parameter to be considered. Negative H-bond energy is correlated with strong H-bond interaction between the amino acid residues and the molecule. Out of the 3 compounds, Compound 1 [Punicic acid] docked with Acetylcholine Esterase Receptor[1ACJ] displayed the highest negative moldock score [-156.709] and is very well bound to the receptor, followed by compound 2 [Ferrulic acid] and compound 3[Caeffic acd]. These plant based molecules can be further tested to evaluate the extent of their anti-Alzheimer’s activity through pre-clinical and clinical testing and may also be incorporated in Ayurvedic medicine for treating Alzheimer’s disease.
 
Keywords: 
Alzheimer’s disease; Computer Aided Drug Design; Drug likeness property; Acetylcholine esterase receptor
 
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